3. Define Artificial Intelligence in terms of
... 5. What does Turing test mean? The Turing test proposed by Alan Turing was designed to provide a satisfactory operational definition of intelligence. Turing defined intelligent behavior as the ability to achieve human-level performance in all cognitive tasks, sufficient to fool an interrogator. ...
... 5. What does Turing test mean? The Turing test proposed by Alan Turing was designed to provide a satisfactory operational definition of intelligence. Turing defined intelligent behavior as the ability to achieve human-level performance in all cognitive tasks, sufficient to fool an interrogator. ...
Consistent Belief Reasoning in the Presence of Inconsistency
... KL89, Lin87], to name a few), inconsistencies are tolerated and the drawback that everything is a consequence of an inconsistency is avoided. In [Dun76, Be175, Pri91, Lin87], a proposition can be assigned three or four truth values, while in [Gin88, KL89], a proposition can be assigned more than fou ...
... KL89, Lin87], to name a few), inconsistencies are tolerated and the drawback that everything is a consequence of an inconsistency is avoided. In [Dun76, Be175, Pri91, Lin87], a proposition can be assigned three or four truth values, while in [Gin88, KL89], a proposition can be assigned more than fou ...
egpai 2016 - ECAI 2016
... and is mainly a test of humanness. The machine intelligence quotient (MIQ) using fuzzy integrals was presented in [1] in 2002. However, determining a universal intelligence quotient for ranking artificial systems is not very practical and is almost unmeasurable due to the vast non-uniformity in the ...
... and is mainly a test of humanness. The machine intelligence quotient (MIQ) using fuzzy integrals was presented in [1] in 2002. However, determining a universal intelligence quotient for ranking artificial systems is not very practical and is almost unmeasurable due to the vast non-uniformity in the ...
Author`s personal copy
... of enacting them. We expect an EMDP agent to learn to skillfully cope with the environment using all the interactions at its disposal, and to demonstrate that it can use these skills for its own good by eventually enacting interactions that have positive values and avoiding interactions that have st ...
... of enacting them. We expect an EMDP agent to learn to skillfully cope with the environment using all the interactions at its disposal, and to demonstrate that it can use these skills for its own good by eventually enacting interactions that have positive values and avoiding interactions that have st ...
Evolving Real-time Heuristic Search Algorithms
... successfully applied to planning, constraint satisfaction and game playing. In real-time heuristic search autonomous agents interleave planning and plan execution and access environment locally which make them more suitable for Artificial Life style settings. Over the last two decades a large number ...
... successfully applied to planning, constraint satisfaction and game playing. In real-time heuristic search autonomous agents interleave planning and plan execution and access environment locally which make them more suitable for Artificial Life style settings. Over the last two decades a large number ...
Distributed multi-agent probabilistic reasoning with Bayesian networks
... Unlike in single-agent systems where evidence is entered one subnet at a time, multiple agents may acquire evidence asynchronously in parallel. Section 6 addresses this and adds new belief propagation operations to the set of singleagent MSBN operations. Section 7 shows that global consistency is gu ...
... Unlike in single-agent systems where evidence is entered one subnet at a time, multiple agents may acquire evidence asynchronously in parallel. Section 6 addresses this and adds new belief propagation operations to the set of singleagent MSBN operations. Section 7 shows that global consistency is gu ...
CS 561a: Introduction to Artificial Intelligence
... • 26/27-Towards intelligent machines. [AIMA Ch 25] The challenge of robots: with what we have learned, what hard problems remain to be solved? Different types of robots. Tasks that robots are for. Parts of robots. Architectures. Configuration spaces. Navigation and motion planning. Towards highly-ca ...
... • 26/27-Towards intelligent machines. [AIMA Ch 25] The challenge of robots: with what we have learned, what hard problems remain to be solved? Different types of robots. Tasks that robots are for. Parts of robots. Architectures. Configuration spaces. Navigation and motion planning. Towards highly-ca ...
An Intelligent Distributed System for Strategic Decision Making
... It is commonly assumed (Antony 1965) that decision-making processes are organized into three levels: strategic decisions, managerial decisions (optimal resource allocation, control), and operational decisions (task execution). Strategic planning specifies the objectives and resources needed to reali ...
... It is commonly assumed (Antony 1965) that decision-making processes are organized into three levels: strategic decisions, managerial decisions (optimal resource allocation, control), and operational decisions (task execution). Strategic planning specifies the objectives and resources needed to reali ...
CS 561a: Introduction to Artificial Intelligence
... • Agents are autonomous, that is, they act on behalf of the user • Agents contain some level of intelligence, from fixed rules to learning engines that allow them to adapt to changes in the environment • Agents don‘t only act reactively (被動地因應改變), but sometimes also proactively ( 主動地改變) ...
... • Agents are autonomous, that is, they act on behalf of the user • Agents contain some level of intelligence, from fixed rules to learning engines that allow them to adapt to changes in the environment • Agents don‘t only act reactively (被動地因應改變), but sometimes also proactively ( 主動地改變) ...
Learning Grounded Language through Situated Interactive Instruction
... categorized further as an action-command, goaldescription, descriptive-sentence, etc. 2. Intention Association: Based on the categorization of the sentence and the information contained in it, the agent associates an intention (purpose) with the sentence. For example, through an action-command, the ...
... categorized further as an action-command, goaldescription, descriptive-sentence, etc. 2. Intention Association: Based on the categorization of the sentence and the information contained in it, the agent associates an intention (purpose) with the sentence. For example, through an action-command, the ...
Artificial Intelligence – Agents and Environments
... study of Artificial Intelligence, then we could perhaps liken it to a landscape, whose ever changing picture is being shaped and reshaped by man over time (in order to highlight how it is continually evolving). Or we could liken it to the observation of desert sands, which continually shift with the ...
... study of Artificial Intelligence, then we could perhaps liken it to a landscape, whose ever changing picture is being shaped and reshaped by man over time (in order to highlight how it is continually evolving). Or we could liken it to the observation of desert sands, which continually shift with the ...
Lecture-13-Environments - Computation Structures Group
... – Checkers, Boggle, RPG, HexaCheckers, Crosswords, ELIZA clone Oxygen Alliance Annual Meeting — February 25 – 28, 2003 ...
... – Checkers, Boggle, RPG, HexaCheckers, Crosswords, ELIZA clone Oxygen Alliance Annual Meeting — February 25 – 28, 2003 ...
CS 561a: Introduction to Artificial Intelligence
... AUVSI autonomous submarine competition • Students build fully autonomous submarines • Submarines must pass through a gate, locate bins, drop markers into the bins, locate and read barcodes under water, knock off blinking lights, etc ...
... AUVSI autonomous submarine competition • Students build fully autonomous submarines • Submarines must pass through a gate, locate bins, drop markers into the bins, locate and read barcodes under water, knock off blinking lights, etc ...
Influence of Psychoanalytic Defense Mechanisms on the Decision
... to be implemented in multi-agent systems to resolve these conflicts. We give a general insight into defense mechanisms in psychoanalysis and how we transfer this theory to multi-agent systems. We describe the kinds of conflicts in the decision making process of software agents where the implementati ...
... to be implemented in multi-agent systems to resolve these conflicts. We give a general insight into defense mechanisms in psychoanalysis and how we transfer this theory to multi-agent systems. We describe the kinds of conflicts in the decision making process of software agents where the implementati ...
Learning Distinctions and Rules in a Continuous World through
... proposes looking for new distinctions when the probability associated with a prospective contingency on two events does not match the probability associated with the retrospective contingency on those same events. He also uses this mismatch in probabilities to indicate that a contingency may only ho ...
... proposes looking for new distinctions when the probability associated with a prospective contingency on two events does not match the probability associated with the retrospective contingency on those same events. He also uses this mismatch in probabilities to indicate that a contingency may only ho ...
Modularity and Design in Reactive Intelligence
... Parallel-rooted, Ordered Slip-stack Hierarchical (POSH) action selection. Although we freely distribute implementations of this architecture in both C++ and Lisp / CLOS, we have also implemented versions of POSH action selection in other architectures [Bryson and Stein, 2001]. The functionality of t ...
... Parallel-rooted, Ordered Slip-stack Hierarchical (POSH) action selection. Although we freely distribute implementations of this architecture in both C++ and Lisp / CLOS, we have also implemented versions of POSH action selection in other architectures [Bryson and Stein, 2001]. The functionality of t ...
Artificial Emotion Simulation Techniques for Intelligent Virtual
... Plutchik [67] and Newton’s laws of motion. Based on the psychological theory of dr. R. Lazarus [46], we devised an emotional subsystem that interacts with and influences an agent architecture. The system also takes into account the effects that emotions have on human perception and cognitive process ...
... Plutchik [67] and Newton’s laws of motion. Based on the psychological theory of dr. R. Lazarus [46], we devised an emotional subsystem that interacts with and influences an agent architecture. The system also takes into account the effects that emotions have on human perception and cognitive process ...
Pdf - Text of NPTEL IIT Video Lectures
... The actuators is the action that this agent can take is the agent can follow links, it can fill in forms, it can give information to the user. These are the actions the agent can take. d) We wanted to look at the performance measure of the agent. This agent’s performance is whether it has been able ...
... The actuators is the action that this agent can take is the agent can follow links, it can fill in forms, it can give information to the user. These are the actions the agent can take. d) We wanted to look at the performance measure of the agent. This agent’s performance is whether it has been able ...
Multi agent systems simulator in Common Lisp
... This approach is based on the laws of thought based on logic. Logic is based on syllogisms by Greek philosopher Aristotle. In the 19th century, logistics defined a precise notation for statements about the world around us and relation between them. However, there are two problems with this approach. ...
... This approach is based on the laws of thought based on logic. Logic is based on syllogisms by Greek philosopher Aristotle. In the 19th century, logistics defined a precise notation for statements about the world around us and relation between them. However, there are two problems with this approach. ...
Improved Memory-Bounded Dynamic Programming for
... Figure 1: The construction of a single policy tree combining the top-down and the bottom-up approaches. ally not necessary. Consider for example robots navigating in a building. After turning away from the entrance door, the robots are highly unlikely to observe that same door in the next time step. ...
... Figure 1: The construction of a single policy tree combining the top-down and the bottom-up approaches. ally not necessary. Consider for example robots navigating in a building. After turning away from the entrance door, the robots are highly unlikely to observe that same door in the next time step. ...
Multi-Agent Systems in Practice When Research Meets - DAI
... approach is based on services, which are described in OWLS and which support SWRL rules. The output parameters of the services can be used for analysis or for input parameters of other services. To this end, the approach focusses on output parameters of services and not on ‘world-altering’ effects l ...
... approach is based on services, which are described in OWLS and which support SWRL rules. The output parameters of the services can be used for analysis or for input parameters of other services. To this end, the approach focusses on output parameters of services and not on ‘world-altering’ effects l ...
Intelligent Virtual Environments - A State-of-the
... some cases to deal with complexity or processing overhead. Once physics is incorporated into a VE, the overhead of solving large sets of equations by analytical methods may severely impact the rendering cycle. The use of neural nets can allow the functional mappings required to be learned off-line a ...
... some cases to deal with complexity or processing overhead. Once physics is incorporated into a VE, the overhead of solving large sets of equations by analytical methods may severely impact the rendering cycle. The use of neural nets can allow the functional mappings required to be learned off-line a ...
Measurements of collective machine intelligence
... be build such that the judge cannot clearly distinguish the machine from the human, Turing argued that the machine could be said to“think” and that it had attained the intelligence of humans. Over time, other versions of the Turing test have been invented so as to compare machines to humans. Some mi ...
... be build such that the judge cannot clearly distinguish the machine from the human, Turing argued that the machine could be said to“think” and that it had attained the intelligence of humans. Over time, other versions of the Turing test have been invented so as to compare machines to humans. Some mi ...
Why would I talk to you?
... mechanism to facilitate social interaction between humans and machines. Waytz et al. define anthropomorphism as ‘attributing capacities that people tend to think of as distinctly human to non-human agents[17 p.220]’. Their stance is that anthropomorphism is not a universal tendency but rather that t ...
... mechanism to facilitate social interaction between humans and machines. Waytz et al. define anthropomorphism as ‘attributing capacities that people tend to think of as distinctly human to non-human agents[17 p.220]’. Their stance is that anthropomorphism is not a universal tendency but rather that t ...
Logical Agents
... – Current state of world – How to infer unseen properties of world from percepts – How world evolves over time – What it wants to achieve – What its own actions do in various circumstances ...
... – Current state of world – How to infer unseen properties of world from percepts – How world evolves over time – What it wants to achieve – What its own actions do in various circumstances ...